SOFFRITTI, GABRIELE
SOFFRITTI, GABRIELE
DIPARTIMENTO DI SCIENZE STATISTICHE "PAOLO FORTUNATI"
Docenti di ruolo di Ia fascia
A collinearity based hierarchical method to identify clusters of variables
2005 A. Laghi; G. Soffritti
A model-based procedure for detecting multiple cluster structures
2005 G. Galimberti; G. Soffritti
A multivariate linear regression analysis using finite mixtures of t distributions
2014 Giuliano Galimberti; Gabriele Soffritti
A note on the consistency of the maximum likelihood estimator under multivariate linear cluster-weighted models
2020 Galimberti G; Soffritti G
Assessment of handedness using latent class factor analysis
2014 Merni F.; Di Michele R.; Soffritti G.
Bayesian variable selection in linear regression models with non-normal errors
2017 Saverio Ranciati, Giuliano Galimberti, Gabriele Soffritti
Bayesian variable selection in linear regression models with non-normal errors
2019 Ranciati, Saverio; Galimberti, Giuliano; Soffritti, Gabriele
Classification Trees for Ordinal Responses in R: The rpartScore Package
2012 Galimberti G.; Soffritti G.; Di Maso M.
Clustering data with multiple cluster structures: a model-based perspective
2006 G. Galimberti; G. Soffritti
Communications in Statistics - Simulation and Computation
In corso di stampa Gabriele Soffritti
Communications in Statistics - Theory and Methods
In corso di stampa Gabriele Soffritti
Comparing strategies for robust regression tree construction
2007 G. Galimberti; M. Pillati; G. Soffritti
Covariance matrix estimation of the maximum likelihood estimator in multivariate clusterwise linear regression
2021 Galimberti G.; Nuzzi L.; Soffritti G.
Detecting multiple cluster structures through model-based clustering methods
2009 G. Soffritti; G. Galimberti
Determinants of the kind of partnership in Italy and Spain
2004 R. Miglio; L. Pasquini; A. Samoggia; G. Soffritti
Estimating the covariance matrix of the maximum likelihood estimator under linear cluster-weighted models
2020 Gabriele Soffritti
Estimating the Covariance Matrix of the Maximum Likelihood Estimator Under Linear Cluster-Weighted Models
2021 Soffritti Gabriele
Evaluating patient satisfaction through latent class factor analysis
2009 G. Cavrini; G. Galimberti; G. Soffritti
Evaluating public services through multivariate linear regression analysis
2009 M. Di Martino; G. Galimberti; G. Soffritti
Finite mixture models for clustering multilevel data with multiple cluster structures
2010 Galimberti G.; Soffritti G.